ERP.AI
Connect the numbers to the work behind them.
Give teams a clear view of progress, exceptions, and the records that explain a result.
Start with the decision the report should support.
A sales manager needs to know which opportunities need attention. An operations lead needs to see delayed work and unresolved exceptions. A finance team needs consistent totals, dates, currencies, and a clear definition of what is included.
ERP.AI includes report and dashboard capabilities alongside application records. Connect each measure to a business question, an accountable owner, and a repeatable definition before arranging the visual presentation.
Make a metric reproducible.
Population
Specify the records and statuses included, including how cancelled, archived, or incomplete work is treated.
Time
Choose the date field, reporting period, and cutoff that match the decision. Created date and completion date answer different questions.
Value
Define the amount, unit, currency, and aggregation. Separate a count of records from a count of distinct customers or orders.
Access
Review the report with each intended role. Sharing an output should follow the same data-handling decisions as the underlying records.
Bring exceptions back into the operating process.
Use reports to identify work that needs an owner: an overdue follow-up, a missing document, a failed integration, or an approval waiting too long. Keep the action connected to the underlying record so the next report reflects the resolution.
Validate totals against a small known dataset before relying on a dashboard. For an exported or generated report, record the date and scope so the reader understands the snapshot they are using.
Put ERP.AI to work for your business.
Choose an application, then configure the records, roles and workflows your team needs.